With the advent of virtual environments and communities, the metaverse has been rapidly expanding in recent years as businesses and industries have begun to see the value and opportunities this technology provides. In order to ensure this technology is utilized to its full potential, further study on the best practices, challenges, and future directions is required. The Research Anthology on Virtual Environments and Building the Metaverse considers the latest research regarding the metaverse and discusses potential issues and benefits of the technology. The book also examines strategies and tactics businesses and companies can use when implementing the metaverse into their operations. Covering key topics such as immersion, augmented reality, and virtual worlds, this major reference work is ideal for computer scientists, business owners, managers, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

This book addresses recent research trends concerning the role of the Metaverse in advancing the education and finance sectors from various perspectives. These trends are explored through multiple case studies employing diverse analytical approaches. The chapters aim to aid scholars and postgraduate students in pursuing future research in this domain and identifying potential developments in Metaverse applications.

Artificial intelligence (AI) is becoming a reality for pioneering organizations while they are facing complex and multifaceted aspects of business sustainability with ambiguous and changing ethical norms and vague or nonexistent legislation. The first quarter of the 21st century was identified as the beginning of the continuous, ongoing, and accelerating wave of simultaneous general purpose technologies revolutions causing accelerated shrinkage of the half-life of knowledge. Cases on Enhancing Business Sustainability Through Knowledge Management Systems presents teaching case studies exploring the formulation and implementation of knowledge management systems (KMS) in organizations. Covering topics such as automation, machine learning, and socio-ecological innovation, this case book is an essential resource for business leaders and managers, IT managers, entrepreneurs, government officials, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

Throughout the educational industry the need to comprehend and navigate the profound transformations underway in the realm of continuing education remains a pressing challenge. As technological advancements accelerate at an unprecedented pace, traditional educational systems are being upended, leaving educators grappling with many questions. The emergence of digital technologies in education introduces a host of complex issues and opportunities. One such opportunity is the application of technologies that can address important issues and open new horizons for those that teach. > At the forefront of academic exploration and innovation is Embracing Technological Advancements for Lifelong Learning, a book of robust research covering an era where the digital revolution is reshaping education. This book brings insights into in-depth investigations of how digital technologies are transforming the landscape of continuing education. It delves deep into the strategies, resources, and best practices that organizations can harness to unlock the full potential of digital transformation. Covering a wide spectrum of issues, from e-learning platforms to virtual and augmented reality, artificial intelligence to mobile learning, this book is a comprehensive guide that showcases the real-world impact of digital transformation through compelling case studies and actionable ideas.

Learning communities transform organizations through sharing knowledge, spearheading practice, solving problems, seeding innovation and supercharging development. So how can you develop a culture of learning in your organization? Organizational Learning Communities answers this question and explains how and why this approach can improve individual employee performance and drive overall business results. Written by a leading voice in the learning profession, this book contains everything that Learning and Development (L&D) practitioners need to know to successfully embed learning communities in their organizations. Following the 7Cs model of Cause, Culture, Conditions, Cadence, Content, Contributions and Credit, the book establishes the key factors that underpin thriving learning communities as well as the benefits of social and collaborative learning in the company. This practical guide establishes strategies to drive community impact and report success to stakeholders, drawing widely on evidence-based research and real-world examples. Each chapter ends with reflective questions to support transfer to the reader's context. This is essential reading for those involved in facilitating learning communities, or planning on pioneering one, to empower their organization's productivity and performance.

Emerging technologies have become both crucibles and showrooms for the practical application of artificial intelligence, the internet of things, and cloud computing, and for integrating big data into everyday life. Is the digital world optimized and sustainable using intelligence systems, machine learning, and cyber security methods? This complex concoction of challenges requires new thinking of the synergistic utilization of intelligence systems, machine learning, deep learning and blockchain methods, data-driven decision-making with automation infrastructure, autonomous transportation, and connected buildings. Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management provides a global perspective on current and future trends concerning the integration of intelligent systems with cybersecurity applications, including recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-the-art methods, methodologies and implementation, attacks, and countermeasures. The book also discusses the challenges that need to be addressed for implementing DL-based security mechanisms that should have the capability of collecting or distributing data across several applications. Topics covered include skill development and tools for intelligence systems, deep learning, machine learning, blockchain, IoT, cloud computing, data ethics, and infrastructure. It is ideal for independent researchers, research scholars, scientists, libraries, industry experts, academic students, business associations, communication and marketing agencies, entrepreneurs, and all potential audiences with a specific interest in these topics.